A sourced, regularly updated collection of statistics on AI video, AI avatars, video marketing, localization, corporate training video and trust in synthetic media. Every figure below links to the original report or press release it comes from, so you can check it and cite it with confidence.
Market-size estimates for AI video vary by research firm because definitions differ, so we list each firm's figures separately rather than combining them.
| Figure | What it measures | Source |
|---|---|---|
| USD 788.5 million (2025) → USD 3,441.6 million (2033), 20.3% CAGR | AI video generator market, 2025 → 2033 | Grand View Research (2026) |
| USD 716.8 million (2025) → USD 3,350.00 million (2034), 18.80% CAGR | AI video generator market, 2025 → 2034 | Fortune Business Insights (2026) |
| 41.00% | North America share of AI video generator market | Fortune Business Insights (2026) |
| USD 22.2 billion (2025) → USD 324.7 billion (2033), 40.8% CAGR | Generative AI market, 2025 → 2033 | Grand View Research (2026) |
| USD 4.16 billion (2025) → USD 20.71 billion (2031), 30.7% CAGR | AI voice generator market, 2025 → 2031 | MarketsandMarkets (2026) |
The global AI video generator market was estimated at USD 788.5 million in 2025 and is projected to reach USD 3,441.6 million by 2033, a CAGR of 20.3% from 2026 to 2033.
Asia Pacific held the largest share of the AI video generator market in 2025, at 31.0% of revenue.
Social media is the fastest-growing application for AI video generators, with a forecast CAGR of 20.8% from 2026 to 2033.
Fortune Business Insights valued the AI video generator market at USD 716.8 million in 2025 and projects USD 3,350.00 million by 2034, a CAGR of 18.80%.
North America accounted for 41.00% of the AI video generator market in 2025.
PowerPoint-to-video is expected to be the fastest-growing AI video generator segment, at a CAGR of 21.8%.
The global generative AI market was valued at USD 22.2 billion in 2025 and is projected to reach USD 324.7 billion by 2033, a CAGR of 40.8%.
The AI voice generator market (covering narration, voiceovers, dubbing and localization) is projected to grow from USD 4.16 billion in 2025 to USD 20.71 billion by 2031, a CAGR of 30.7%.
Video remains the default format for marketing and for how people learn about products, and AI is now part of how much of that video gets made.
| Figure | What it measures | Source |
|---|---|---|
| 91% | Businesses using video as a marketing tool | Wyzowl (2026) |
| 82% | Marketers reporting good ROI from video | Wyzowl (2026) |
| ~75% | Video share of mobile data traffic | Ericsson (2026) |
| 77% | People who watch online news video weekly | Reuters Institute for the Study of Journalism (2026) |
91% of businesses use video as a marketing tool, up from 61% in 2016.
82% of marketers say video has given them a good ROI.
96% of people have watched an explainer video to learn about a product or service.
85% of people have been convinced to buy a product or service by watching a video.
63% of people would most like to learn about a product by watching a short video.
92% of marketers plan to spend the same or more on video in 2026.
Marketers' top three ROI-driving content formats are all video: short-form video (49%), long-form video (29%) and live-streaming video (25%).
Short-form video was the most-used content format among marketers in 2025, used by 60%.
Video accounted for around 75% of all mobile data traffic at the end of 2025.
77% of people globally now watch online news video each week, a majority in all 48 markets surveyed.
Generative AI has moved from pilots to everyday use in many organizations, while most marketing teams say their processes are still catching up.
| Figure | What it measures | Source |
|---|---|---|
| ~9 in 10; 44% | Organizations using AI regularly in at least one function | McKinsey & Company (2026) |
| 77% | GenAI-adopting marketing orgs using it for creative development | Gartner (2025) |
| 70% | CMOs whose processes are not ready to scale AI | Gartner (2026) |
| 75% | Marketing organizations using at least one form of AI | Salesforce (2026) |
| 94% | Marketers planning to use AI for content creation | HubSpot (2026) |
| 63% | Video marketers who have used AI to create or edit video | Wyzowl (2026) |
Nearly nine in ten organizations report regular use of AI in at least one business function, and 44% say AI is scaling across their enterprise (up from 38% a year earlier).
80% of respondents say AI has improved their individual productivity, and 50% say it helps them make better decisions.
37% of respondents attribute at least some EBIT impact to AI use, about the same share as the previous year.
Among marketing organizations that have adopted GenAI, 77% use it for creative development tasks (84% of high performers).
27% of CMOs say their marketing organization has limited or no GenAI adoption in marketing campaigns.
70% of CMOs say their internal marketing processes are not mature enough to implement and scale AI; only 30% report mature AI readiness.
75% of marketing organizations now use at least one form of AI, including for generating visuals; 13% of marketers currently use agentic AI.
About 94% of marketers plan to use AI in their content creation processes in 2026.
63% of video marketers have used AI to create or edit video, up from 51% the year before.
Generative AI reached 53% population adoption within three years, faster than the PC or the internet.
AI avatars and digital humans are among the fastest-growing segments of synthetic media, with interactive use cases leading adoption.
| Figure | What it measures | Source |
|---|---|---|
| USD 808.4 million (2025) → USD 7,900.0 million (2033), 32.9% CAGR | AI avatar market, 2025 → 2033 | Grand View Research (2026) |
| 68.4% | Interactive avatars' share of AI avatar market | Grand View Research (2026) |
| USD 11.2 billion (2025) → USD 110.4 billion (2033), 33.6% CAGR | Virtual influencer market, 2025 → 2033 | Grand View Research (2026) |
| 75%; 90% | Viewers receptive to AI-assisted video | TechSmith (2024) |
| 87% | Viewers who still prefer a human speaker | TechSmith (2026) |
The global AI avatar market was valued at USD 808.4 million in 2025 and is projected to reach USD 7,900.0 million by 2033, a CAGR of 32.9%.
Interactive avatars held 68.4% of the AI avatar market in 2025.
Digital humans were the largest AI avatar platform segment in 2025, with a 46.6% revenue share.
Avatar-based online customer service was the largest AI avatar application in 2025, with a 33.1% share.
The digital human AI avatars market is forecast to grow by USD 13.5 billion between 2024 and 2029, at a CAGR of 44%.
The global virtual influencer market was valued at USD 11.2 billion in 2025 and is projected to reach USD 110.4 billion by 2033, a CAGR of 33.6%.
75% of viewers are very or somewhat receptive to videos created with the help of AI, but 90% have concerns, led by content accuracy (45%).
Even among viewers open to AI-integrated instructional video, 87% still prefer a human speaker.
Audiences watch more content outside their own language than ever, and multilingual audio and subtitles directly affect reach and watch time.
| Figure | What it measures | Source |
|---|---|---|
| 25%+ | Watch time from non-primary languages after adding multi-language audio | YouTube (2025) |
| over one-third | Netflix viewing of non-English titles | Netflix (2026) |
| 49.5% | Websites whose content language is English | W3Techs (2026) |
| 47% | Europeans who speak English as a foreign language | European Commission (2024) |
| USD 71.7 billion (2024) → USD 75.7 billion (2025) | Language services industry size | Nimdzi Insights (2025) |
Creators who uploaded multi-language audio tracks saw, on average, over 25% of their watch time come from views in the video's non-primary language.
Non-English titles accounted for over a third of all Netflix viewing in the second half of 2025.
English is the content language of 49.5% of websites whose content language is known, meaning roughly half of the web is in other languages.
Only 47% of Europeans can speak English as a foreign language, the most widely spoken foreign language in the EU.
53% of Europeans, and 65% of young Europeans, now prefer subtitles to dubbing when watching films.
The language services industry reached USD 71.7 billion in 2024 and is projected to grow to USD 75.7 billion in 2025.
Nimdzi projects the language services industry will reach USD 92.3 billion by 2029.
69.4% of language service providers are making strategic investments to increase their use of machine translation, up from 63.6%.
(2020 data) 76% of online shoppers prefer to buy products with information in their native language, and 40% will never buy from websites in other languages (survey of 8,709 consumers in 29 countries).
Training budgets are large and increasingly digital, and employees already turn to video to learn on the job, which makes video a core format for L&D teams.
| Figure | What it measures | Source |
|---|---|---|
| $102.8 billion | U.S. training expenditure, 2025 | Training magazine (2025) |
| $874 | Average spend per learner, 2025 | Training magazine (2025) |
| 83% | People who prefer video for instructional content | TechSmith (2024) |
| 65% | Workers who prefer on-demand video to asking a colleague | Kaltura / IntelliVid Research (2025) |
| 90%+ | Organizations expecting AI to impact learning | Brandon Hall Group (2025) |
U.S. training expenditures rose 4.9% to $102.8 billion in 2025.
Companies spent an average of $874 per learner in 2025, up from $774 in 2024.
34% of U.S. training hours were delivered via online or computer-based technologies, and 24% via virtual classroom/webcasting.
77% of organizations use virtual classroom/webcasting/video broadcasting tools, second only to learning management systems (89%).
AI training is the second most likely area to receive more funding (25% of organizations), after management/supervisory training (30%).
Average formal learning hours per employee rose to 16.7 in 2025 from 13.7 in 2024, while direct expenditure per employee fell from $1,254 to $846.
More companies provide practical AI skills training than technical AI skills training (55% vs. 45%).
88% of organizations are concerned about employee retention, and providing learning opportunities is their No. 1 retention strategy.
49% of L&D professionals agree their executives are concerned that employees do not have the right skills to execute business strategy.
83% of people prefer video to consume instructional or informational content.
66% of people watch an instructional or informational video at least once a week; only 16% watched because they were required to.
65% of workers would rather watch an on-demand video than ask a colleague for help.
68% of employees who created videos in 2024 say they could create more if given easier-to-use video creation tools; 75% say their organizations encourage more video.
More than 90% of organizations believe AI will have a moderate or high impact on learning in 2025.
As AI-generated video becomes common, people want to know what is synthetic, and few feel confident they can spot a deepfake on their own.
| Figure | What it measures | Source |
|---|---|---|
| 76% | Americans who say AI labeling is important | Pew Research Center (2025) |
| 53% | Americans not confident they can detect AI content | Pew Research Center (2025) |
| 43% | UK adults who saw a deepfake in the last six months | Ofcom (2024) |
| 9% | UK adults confident they can identify a deepfake | Ofcom (2024) |
| 46%; 66% | People willing to trust AI systems | KPMG & University of Melbourne (2025) |
76% of Americans say it is extremely or very important to be able to tell if pictures, videos and text were made by AI or by people.
53% of Americans are not too or not at all confident they can detect whether something was made by AI or a person.
50% of Americans are more concerned than excited about the increased use of AI in daily life, up from 37% in 2021.
43% of UK people aged 16+ say they have seen at least one deepfake online in the last six months, rising to 50% among children aged 8-15.
Fewer than one in ten (9%) UK people aged 16+ are confident in their ability to identify a deepfake.
Only 46% of people globally are willing to trust AI systems, even though 66% use AI regularly.
70% of people believe national and international AI regulation is needed.
Concern about fake news online rose 4 percentage points to 62% on average across 48 markets.
Trust in answers from AI chatbots is 20% globally, compared with 37% trust in news overall.
Gartner predicted that by 2026, deepfake attacks on face biometrics will lead 30% of enterprises to no longer consider such identity verification solutions reliable in isolation.
We included only figures we could read on the original publisher's page (research firms, industry associations, platforms and public-sector surveys) and checked each one against that page on November 5, 2026. Figures quoted second-hand were traced to their original source or left out. Statistics published by AI video vendors are excluded so the page stays neutral, and paywalled figures are excluded because readers cannot verify them. Numbers are reported as the source states them, without rounding; market-size estimates differ between research firms because of different definitions and methods, so each is attributed separately. Data older than 2024 is labeled with its year.
Last updated: . Spotted an outdated figure? Each statistic links to its source so you can check it directly.
AI Studios. “AI Video & Avatar Statistics 2026.” Updated November 5, 2026. https://www.aistudios.com/ai-video-statistics
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